Papers by Syamantak Kumar

1 papers
From Machine Translation to Code-Switching: Generating High-Quality Code-Switched Text (2021.acl-long)

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Challenge: a computational model for code-switching text is lacking in the corpus of real text.
Approach: They propose a neural machine translation model to generate Hindi-English code-switched sentences using monolingual Hindi sentences.
Outcome: The proposed model reduces perplexity on a language modeling task and improves on linguistic inference tasks.

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